Bing Mu
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
- Renal and related cancers 2
-
- MicroRNA in disease regulation 2
- Carcinogens and Genotoxicity Assessment 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Zhi Lin (3 shared papers)Weidong Dai (2 shared papers)Qincao Chen (2 shared papers)Haipeng Lv (2 shared papers)Yin Zhu (2 shared papers)Xiwei Wu (6 shared papers)Hanlin Gao (4 shared papers)Jiang Shi (1 shared paper)
- Journals
- Food Chemistry (3 papers)Clinical Cancer Research (1 paper)Agronomy (1 paper)Foods (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Bing Mu
18 papers receiving 872 citations
Peers
Comparison fields: 5 of 81
- Biochemistry 175
- Cancer Research 319
- Pathology and Forensic Medicine 328
- Food Science 272
- Molecular Biology 442
Countries citing papers authored by Bing Mu
This map shows the geographic impact of Bing Mu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Mu more than expected).
Fields of papers citing papers by Bing Mu
This network shows the impact of papers produced by Bing Mu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing Mu. The network helps show where Bing Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | 2020 | 152 | |
| 3 | 2012 | 151 | |
| 4 | 2010 | 139 | |
| 5 | 2015 | 83 | |
| 6 | 2018 | 49 | |
| 7 | 1983 | 36 | |
| 8 | 2014 | 32 | |
| 9 | 2019 | 26 | |
| 10 | 2022 | 18 | |
| 11 | The effects of catechol on the urinary bladder of rats treated with N-butyl-N-(4-hydroxybutyl)nitrosamine. | 1985 | 5 |
| 12 | 2025 | 4 | |
| 13 | 1982 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 1987 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 1 |
About Bing Mu
Bing Mu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Food Science and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 890 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (4 papers), Circular RNAs in diseases (3 papers), Fermentation and Sensory Analysis (3 papers), MicroRNA in disease regulation (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Food Quality and Safety Studies (2 papers), Renal and related cancers (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biochemistry (175 citations), Cancer Research (319 citations), Pathology and Forensic Medicine (328 citations), Food Science (272 citations) and Molecular Biology (442 citations). Bing Mu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zhi Lin, Weidong Dai, Qincao Chen, Haipeng Lv, Yin Zhu, Xiwei Wu, Hanlin Gao, Jiang Shi, Zhen Chen and Jennifer Jin. Their work appears in journals such as Food Chemistry, Clinical Cancer Research, Agronomy, Foods and The Journal of Pathology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.